Batch 1: (1/None) Mode Baseline Binary Classification P... Elapsed:00:00
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: -53.071
Decision Tree Classifier w/ Imputer Elapsed: 00:00
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 12.247
High coefficient of variation (cv >= 0.2) within cross validation scores. Decision Tree Classifier w/ Imputer may not perform as estimated on unseen data.
LightGBM Classifier w/ Imputer Elapsed: 00:01
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 23.536
High coefficient of variation (cv >= 0.2) within cross validation scores. LightGBM Classifier w/ Imputer may not perform as estimated on unseen data.
Extra Trees Classifier w/ Imputer Elapsed: 00:05
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 19.169
High coefficient of variation (cv >= 0.2) within cross validation scores. Extra Trees Classifier w/ Imputer may not perform as estimated on unseen data.
Elastic Net Classifier w/ Imputer + S... Elapsed: 00:07
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: -53.071
CatBoost Classifier w/ Imputer Elapsed: 00:08
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 9.780
High coefficient of variation (cv >= 0.2) within cross validation scores. CatBoost Classifier w/ Imputer may not perform as estimated on unseen data.
XGBoost Classifier w/ Imputer Elapsed: 00:09
Starting cross validation
[17:55:31] WARNING: /Users/runner/miniforge3/conda-bld/xgboost_1607604592557/work/src/learner.cc:1061: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:55:32] WARNING: /Users/runner/miniforge3/conda-bld/xgboost_1607604592557/work/src/learner.cc:1061: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:55:33] WARNING: /Users/runner/miniforge3/conda-bld/xgboost_1607604592557/work/src/learner.cc:1061: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
Finished cross validation - mean Cost Benefit Matrix: 22.293
Random Forest Classifier w/ Imputer Elapsed: 00:12
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 19.649
Logistic Regression Classifier w/ Imp... Elapsed: 00:14
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 26.340
Logistic Regression Classifier w/ Imp... Elapsed: 00:18
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 28.612
Logistic Regression Classifier w/ Imp... Elapsed: 00:20
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 27.991
Logistic Regression Classifier w/ Imp... Elapsed: 00:22
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 28.168
High coefficient of variation (cv >= 0.2) within cross validation scores. Logistic Regression Classifier w/ Imputer + Standard Scaler may not perform as estimated on unseen data.
Logistic Regression Classifier w/ Imp... Elapsed: 00:24
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 27.689
Logistic Regression Classifier w/ Imp... Elapsed: 00:26
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 27.955
LightGBM Classifier w/ Imputer Elapsed: 00:28
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 28.044
LightGBM Classifier w/ Imputer Elapsed: 00:29
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 18.087
LightGBM Classifier w/ Imputer Elapsed: 00:31
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 11.200
High coefficient of variation (cv >= 0.2) within cross validation scores. LightGBM Classifier w/ Imputer may not perform as estimated on unseen data.
LightGBM Classifier w/ Imputer Elapsed: 00:33
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 18.974
High coefficient of variation (cv >= 0.2) within cross validation scores. LightGBM Classifier w/ Imputer may not perform as estimated on unseen data.
LightGBM Classifier w/ Imputer Elapsed: 00:34
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 26.074
XGBoost Classifier w/ Imputer Elapsed: 00:36
Starting cross validation
[17:55:57] WARNING: /Users/runner/miniforge3/conda-bld/xgboost_1607604592557/work/src/learner.cc:1061: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:56:00] WARNING: /Users/runner/miniforge3/conda-bld/xgboost_1607604592557/work/src/learner.cc:1061: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:56:02] WARNING: /Users/runner/miniforge3/conda-bld/xgboost_1607604592557/work/src/learner.cc:1061: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
Finished cross validation - mean Cost Benefit Matrix: 17.483
XGBoost Classifier w/ Imputer Elapsed: 00:45
Starting cross validation
[17:56:06] WARNING: /Users/runner/miniforge3/conda-bld/xgboost_1607604592557/work/src/learner.cc:1061: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:56:08] WARNING: /Users/runner/miniforge3/conda-bld/xgboost_1607604592557/work/src/learner.cc:1061: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:56:11] WARNING: /Users/runner/miniforge3/conda-bld/xgboost_1607604592557/work/src/learner.cc:1061: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
Finished cross validation - mean Cost Benefit Matrix: 16.400
XGBoost Classifier w/ Imputer Elapsed: 00:52
Starting cross validation
[17:56:13] WARNING: /Users/runner/miniforge3/conda-bld/xgboost_1607604592557/work/src/learner.cc:1061: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:56:19] WARNING: /Users/runner/miniforge3/conda-bld/xgboost_1607604592557/work/src/learner.cc:1061: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:56:26] WARNING: /Users/runner/miniforge3/conda-bld/xgboost_1607604592557/work/src/learner.cc:1061: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
Finished cross validation - mean Cost Benefit Matrix: 19.453
XGBoost Classifier w/ Imputer Elapsed: 01:11
Starting cross validation
[17:56:32] WARNING: /Users/runner/miniforge3/conda-bld/xgboost_1607604592557/work/src/learner.cc:1061: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:56:34] WARNING: /Users/runner/miniforge3/conda-bld/xgboost_1607604592557/work/src/learner.cc:1061: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:56:37] WARNING: /Users/runner/miniforge3/conda-bld/xgboost_1607604592557/work/src/learner.cc:1061: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
Finished cross validation - mean Cost Benefit Matrix: 16.507
High coefficient of variation (cv >= 0.2) within cross validation scores. XGBoost Classifier w/ Imputer may not perform as estimated on unseen data.
XGBoost Classifier w/ Imputer Elapsed: 01:18
Starting cross validation
[17:56:39] WARNING: /Users/runner/miniforge3/conda-bld/xgboost_1607604592557/work/src/learner.cc:1061: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:56:42] WARNING: /Users/runner/miniforge3/conda-bld/xgboost_1607604592557/work/src/learner.cc:1061: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:56:45] WARNING: /Users/runner/miniforge3/conda-bld/xgboost_1607604592557/work/src/learner.cc:1061: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
Finished cross validation - mean Cost Benefit Matrix: 18.548
Random Forest Classifier w/ Imputer Elapsed: 01:27
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 20.678
High coefficient of variation (cv >= 0.2) within cross validation scores. Random Forest Classifier w/ Imputer may not perform as estimated on unseen data.
Random Forest Classifier w/ Imputer Elapsed: 01:35
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 23.695
Random Forest Classifier w/ Imputer Elapsed: 01:42
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 23.553
Random Forest Classifier w/ Imputer Elapsed: 01:47
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 21.494
Random Forest Classifier w/ Imputer Elapsed: 01:50
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 11.377
High coefficient of variation (cv >= 0.2) within cross validation scores. Random Forest Classifier w/ Imputer may not perform as estimated on unseen data.
Extra Trees Classifier w/ Imputer Elapsed: 01:53
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 22.080
High coefficient of variation (cv >= 0.2) within cross validation scores. Extra Trees Classifier w/ Imputer may not perform as estimated on unseen data.
Extra Trees Classifier w/ Imputer Elapsed: 01:57
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 23.269
Extra Trees Classifier w/ Imputer Elapsed: 01:58
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 10.561
High coefficient of variation (cv >= 0.2) within cross validation scores. Extra Trees Classifier w/ Imputer may not perform as estimated on unseen data.
Extra Trees Classifier w/ Imputer Elapsed: 02:02
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 7.561
High coefficient of variation (cv >= 0.2) within cross validation scores. Extra Trees Classifier w/ Imputer may not perform as estimated on unseen data.
Extra Trees Classifier w/ Imputer Elapsed: 02:05
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 18.779
High coefficient of variation (cv >= 0.2) within cross validation scores. Extra Trees Classifier w/ Imputer may not perform as estimated on unseen data.
Decision Tree Classifier w/ Imputer Elapsed: 02:10
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 13.720
High coefficient of variation (cv >= 0.2) within cross validation scores. Decision Tree Classifier w/ Imputer may not perform as estimated on unseen data.
Decision Tree Classifier w/ Imputer Elapsed: 02:11
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 20.323
High coefficient of variation (cv >= 0.2) within cross validation scores. Decision Tree Classifier w/ Imputer may not perform as estimated on unseen data.
Decision Tree Classifier w/ Imputer Elapsed: 02:12
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: -1.846
High coefficient of variation (cv >= 0.2) within cross validation scores. Decision Tree Classifier w/ Imputer may not perform as estimated on unseen data.
Decision Tree Classifier w/ Imputer Elapsed: 02:13
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 15.264
High coefficient of variation (cv >= 0.2) within cross validation scores. Decision Tree Classifier w/ Imputer may not perform as estimated on unseen data.
Decision Tree Classifier w/ Imputer Elapsed: 02:14
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 14.679
High coefficient of variation (cv >= 0.2) within cross validation scores. Decision Tree Classifier w/ Imputer may not perform as estimated on unseen data.
CatBoost Classifier w/ Imputer Elapsed: 02:16
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 17.448
CatBoost Classifier w/ Imputer Elapsed: 02:18
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 20.944
High coefficient of variation (cv >= 0.2) within cross validation scores. CatBoost Classifier w/ Imputer may not perform as estimated on unseen data.
CatBoost Classifier w/ Imputer Elapsed: 02:20
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 20.714
CatBoost Classifier w/ Imputer Elapsed: 02:21
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 12.123
CatBoost Classifier w/ Imputer Elapsed: 02:23
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 22.453
Elastic Net Classifier w/ Imputer + S... Elapsed: 02:25
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: -53.071
Elastic Net Classifier w/ Imputer + S... Elapsed: 02:26
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: -53.071
Elastic Net Classifier w/ Imputer + S... Elapsed: 02:27
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: -53.071
Elastic Net Classifier w/ Imputer + S... Elapsed: 02:29
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: -32.836
Elastic Net Classifier w/ Imputer + S... Elapsed: 02:30
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: -53.071
Stacked Ensemble Classification Pipeline Elapsed: 02:31
Starting cross validation
[17:57:54] WARNING: /Users/runner/miniforge3/conda-bld/xgboost_1607604592557/work/src/learner.cc:1061: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:58:02] WARNING: /Users/runner/miniforge3/conda-bld/xgboost_1607604592557/work/src/learner.cc:1061: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:58:03] WARNING: /Users/runner/miniforge3/conda-bld/xgboost_1607604592557/work/src/learner.cc:1061: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:58:03] WARNING: /Users/runner/miniforge3/conda-bld/xgboost_1607604592557/work/src/learner.cc:1061: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
Finished cross validation - mean Cost Benefit Matrix: 25.719
Logistic Regression Classifier w/ Imp... Elapsed: 02:49
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 26.251
High coefficient of variation (cv >= 0.2) within cross validation scores. Logistic Regression Classifier w/ Imputer + Standard Scaler may not perform as estimated on unseen data.
Logistic Regression Classifier w/ Imp... Elapsed: 02:51
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 28.275
Logistic Regression Classifier w/ Imp... Elapsed: 02:53
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 27.707
Logistic Regression Classifier w/ Imp... Elapsed: 02:55
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 27.086
Logistic Regression Classifier w/ Imp... Elapsed: 02:57
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 28.346
LightGBM Classifier w/ Imputer Elapsed: 03:00
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 24.494
High coefficient of variation (cv >= 0.2) within cross validation scores. LightGBM Classifier w/ Imputer may not perform as estimated on unseen data.
LightGBM Classifier w/ Imputer Elapsed: 03:01
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 16.986
High coefficient of variation (cv >= 0.2) within cross validation scores. LightGBM Classifier w/ Imputer may not perform as estimated on unseen data.
LightGBM Classifier w/ Imputer Elapsed: 03:03
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 18.495
High coefficient of variation (cv >= 0.2) within cross validation scores. LightGBM Classifier w/ Imputer may not perform as estimated on unseen data.
LightGBM Classifier w/ Imputer Elapsed: 03:04
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 24.423
LightGBM Classifier w/ Imputer Elapsed: 03:06
Starting cross validation
Finished cross validation - mean Cost Benefit Matrix: 27.955
High coefficient of variation (cv >= 0.2) within cross validation scores. LightGBM Classifier w/ Imputer may not perform as estimated on unseen data.
50 iterations without improvement. Stopping search early...
Search finished after 03:09
Best pipeline: Logistic Regression Classifier w/ Imputer + Standard Scaler
Best pipeline Cost Benefit Matrix: 28.611999
CPU times: user 6min 47s, sys: 14 s, total: 7min 1s
Wall time: 3min 9s